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Java Ai Developer Jobs in Poughkeepsie, NY (NOW HIRING)

RBW

Software Engineer

Kingston, NY · On-site

... Stack Developer with a strong proficiency in one or more server-side programming languages (Java ... Experience or strong interest in building and deploying agentic AI to automate workflows, optimize ...

All JobsJava Ai Developer JobsJava Ai Developer Jobs in Poughkeepsie, NY

Java Ai Developer information

See Poughkeepsie, NY salary details

$15

$56

$76

How much do java ai developer jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for java ai developer in Poughkeepsie, NY is $56.02, according to ZipRecruiter salary data. Most workers in this role earn between $48.46 and $62.69 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
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Java Ai Developer jobs near you
Senior Consultant / Architect - AI-Driven Modernization (North America) (Engineering / Architectu...

Senior Consultant / Architect - AI-Driven Modernization (North America) (Engineering / Architectu...

CAST Software Inc.

Millerton, NY • On-site

$131K - $178K/yr

Full-time

Posted 4 days ago

Job description

CAST Software is the global leader in Software Intelligence. We help enterprises understand, improve, and transform complex software systems.

Our platform provides deterministic system-level insight into large codebases, which—combined with AI models and agents—enables enterprises to move from experimentation to production-grade AI outcomes in brownfield environments.

About the Role

We are hiring strong engineers and architects who want to move beyond pure development into end-to-end ownership of real-world outcomes in the AI era.

You will work directly with large enterprise codebases (often millions of lines of code), using CAST and AI tools to:

  • Understand system architecture and dependencies
  • Enable AI-assisted modernization and transformation
  • Ensure outputs are accurate, complete, and production-ready

This is a role for someone who wants to stay deeply technical while stepping into higher-impact, customer-facing ownership.

 

What You’ll DoWork on Real Enterprise Systems
  • Analyze large, complex codebases (.NET, Java, SQL, etc.)
  • Reconstruct architecture, dependencies, and data flows using CAST Imaging
  • Identify risks, hidden dependencies, and modernization blockers
Enable AI-Assisted Transformation
  • Use tools such as VS Code, GitHub Copilot, Claude, and CAST MCP to:
    • Support code transformation (.NET → Java, legacy → modern frameworks)
    • Validate structural and functional accuracy of AI-generated outputs
  • Ensure transformations preserve:
    • Dependencies and integrations
    • Architecture integrity
    • Security and operational requirements
Bridge Deterministic Insight and AI
  • Ground AI outputs in deterministic system context
  • Identify gaps where AI-only approaches fall short (e.g., missing layers, incorrect flows)
  • Iterate toward deployable, production-ready outcomes
Own Customer Outcomes
  • Work directly with engineering and architecture teams
  • Translate technical insights into clear action plans
  • Drive progress from:
    • Initial analysis → transformation → adoption
Expand into Customer Ownership
  • Lead technical discussions with:
    • Architects, engineering leads, and CTO organizations
  • Contribute to executive conversations with clear, structured insights
  • Gradually take on broader ownership of customer success and outcomes
Who You Are
  • 5–12+ years in:
    • Software engineering, architecture, or modernization
  • Strong experience with:
    • Java, .NET, SQL, distributed systems
    • Enterprise application architectures
  • Comfortable working with:
    • Large, complex, poorly documented systems
  • Exposure to or strong interest in:
    • AI/GenAI for software development
    • Code transformation and modernization
  • Strong problem-solving mindset — able to trace issues across systems
  • Good communication skills, with interest in becoming more customer-facing
What Makes This Role Different
  • You work on brownfield systems where correctness matters
  • You don’t just generate code — you validate and make it real
  • You bridge AI capability with system reality
  • You evolve from architect → customer owner
  • You are positioning your career at the center of the AI shift — working on the exact problems that will define how AI is used in enterprise software, not just experimenting at the edges
Employment Type: FULL_TIME

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